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Informing policy: consistent cross referencing of data

The Department of Energy & Climate Change (DECC) works to make sure the UK has secure, clean, affordable energy supplies.

To effectively inform policy such as Green Deal, Energy Companies Obligation and Fuel Poverty; DECC has combined data from a number of different sources to create the National Energy Efficiency Data-Framework (NEED). Utilising the Unique Property Reference Number (UPRN) from our AddressBase product, the result is consistent cross referencing of data, increased collaboration and efficiencies.

What were the challenges?

  • Accessing property data from a number of different
  • Using address information from multiple systems
    without a unique identifier.
  • No single data source when answering policy questions.
  • Re-matching data each time analysis needs to be made.

What was the solution?

This is a great example of how a government department is bringing together a number of datasets to enable consistent cross referencing of data – informing policy, increasing collaboration and reducing duplication of resources.

Mary Gregory, Statistician, DECC

National Energy Efficiency Data-Framework (NEED) is a framework for combining data from existing sources to provide insights into how energy is used and the impact on energy efficiency measures for different types of property and household.

By utilising the AddressBase Premium product, data is address-matched once, each record is assigned a UPRN and is then used many times. The original data can still maintain the unique identifiers that link back to the original systems.

What were the outcomes?

Within DECC, outputs from NEED have already been used to inform a number of important policies, including:

  • Estimates of savings from insulation measures to inform development of Green Deal and ECO.
  • Consumption by income and tenure to inform Fuel Poverty policy.
  • Consumption by property attributes to inform development of heat policy.
  • DECC’s Heat Map.
  • Compare My Energy (Energy UK tool).

The products used

Download this case study PDF – 747kB


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